Triple
T6848084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motu language |
E157946
|
entity |
| Predicate | traditionalSpeakersRegion |
P29819
|
FINISHED |
| Object | villages around Port Moresby |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: villages around Port Moresby | Statement: [Motu language, traditionalSpeakersRegion, villages around Port Moresby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalSpeakersRegion Context triple: [Motu language, traditionalSpeakersRegion, villages around Port Moresby]
-
A.
traditionalSpeakers
Indicates that the subject speaks a language in its traditional or heritage form, typically as part of a longstanding cultural or community practice.
-
B.
countryWithSpeakers
Indicates that a given country is one in which speakers of a specified language (or languages) are present.
-
C.
isSpokenOn
Indicates that a particular language, phrase, or utterance is used or occurs during a specified time, event, or occasion.
-
D.
languageArea
chosen
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
-
E.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.